resize(image, width, height, channels=None, decode=False, resample='nearest')¶
Resizes the image or SArray of Images to a specific width, height, and number of channels.
- image : turicreate.Image | SArray
The image or SArray of images to be resized.
- width : int
The width the image is resized to.
- height : int
The height the image is resized to.
- channels : int, optional
The number of channels the image is resized to. 1 channel corresponds to grayscale, 3 channels corresponds to RGB, and 4 channels corresponds to RGBA images.
- decode : bool, optional
Whether to store the resized image in decoded format. Decoded takes more space, but makes the resize and future operations on the image faster.
- resample : ‘nearest’ or ‘bilinear’
Specify the resampling filter:
'nearest': Nearest neigbhor, extremely fast
'bilinear': Bilinear, fast and with less aliasing artifacts
- out : turicreate.Image
Returns a resized Image object.
Grayscale Images -> Images with one channel, representing a scale from white to black
RGB Images -> Images with 3 channels, with each pixel having Green, Red, and Blue values.
RGBA Images -> An RGB image with an opacity channel.
Resize a single image
>>> img = turicreate.Image('https://static.turi.com/datasets/images/sample.jpg') >>> resized_img = turicreate.image_analysis.resize(img,100,100,1)
Resize an SArray of images
>>> url ='https://static.turi.com/datasets/images/nested' >>> image_sframe = turicreate.image_analysis.load_images(url, "auto", with_path=False, ... recursive=True) >>> image_sarray = image_sframe["image"] >>> resized_images = turicreate.image_analysis.resize(image_sarray, 100, 100, 1)